Keiji AI: Revolutionizing Clinical Research with Intelligent Automation

Keiji AI is a research-driven AI platform transforming clinical development by delivering autonomous AI agents that streamline and enhance every stage of the clinical trial lifecycle—from planning and trial design to execution, data analysis, and regulatory compliance. Trusted by pharmaceutical companies and built by leading researchers, Keiji AI leverages a foundation of 850,000 protocols and 1.3 million publications to power advanced capabilities like multimodal digital twins, precision patient-trial matching, real-time error detection, and audit-ready documentation. With its integrated three-layer architecture—Application, AI System, and Data—it enables natural language querying, structured literature review workflows (PRISMA-compliant), and automated code generation in Python and R, all while ensuring data privacy through federated learning and differential privacy. The platform is backed by peer-reviewed research published in top-tier journals like Nature Communications and NeurIPS, and supports collaboration with academic institutions.

Key Features:

• AI Copilots for Trial Design, Evidence Synthesis, and Data Analysis
• TrialMind Mission Control System – Orchestrates intelligent agents across the clinical trial lifecycle
• Multimodal Digital Twins – Simulate patient outcomes, recruitment, and dropouts
• Natural Language Capabilities for Real-World Data (RWD) Analysis with audit trails and compliance
• Literature Review Agent – Supports PRISMA-compliant workflows and structured data exports
• Data Science Assistant – Automates data analytics and generates actionable insights
• Trial Design Optimizer – Enhances efficiency and success probability through predictive optimization
• Trial Monitoring Agent – Enables real-time error detection and quality control
• Regulatory Intelligence Agent – Automates compliance with audit-ready documentation
• Precision Patient-Trial Matching – Accelerates recruitment with AI-driven targeting
• Large Language Models (LLMs) and Knowledge Graph Engine – Powers contextual understanding and data integration
• Predictive Analytics API and Document Parsing Service – Extracts and analyzes complex clinical data
• Entity Linking & Named Entity Recognition (NER) – Enhances data accuracy and traceability
• Recommendation Engine – Suggests optimal trial strategies and resources
• Real-Time Processing & Privacy-Preserving ML – Ensures secure, compliant, and timely insights
• Integrated Data Layer – Aggregates clinical trial databases, EHRs, genomic data, regulatory records, literature, digital health data, claims data, and external partners (IQVIA, Flatiron, Tempus)
• Automated Code Generation – Produces Python and R code with a real-time execution sandbox
• Academic Partnerships & Research Collaboration – Engages with top institutions and publishes in leading venues (Nature Communications, NeurIPS, ACL, Cell Patterns, JAMIA, etc.)
• Demo Booking – Offers personalized walkthroughs for potential users

Pricing: Keiji AI operates on a subscription-based model, with enterprise-tier pricing tailored to pharmaceutical and healthcare organizations. A free trial is available upon request through the demo booking system.

Conclusion: Keiji AI is a powerful, innovation-driven platform that accelerates clinical research through intelligent automation, advanced predictive modeling, and secure, compliant data integration—making it an essential tool for researchers and pharmaceutical leaders aiming to achieve faster, smarter, and more accurate trials.